PuneetKohli / OpenCE

Contrast Enhancement Techniques for low-light images

OpenCE

Contrast Enhancement Techniques

• HE-based
  • BPDHE bpdhe
  • DHECI
  • CLAHE (Contrast-limited adaptive histogram equalization) clahe clahe_lab
  • WAHE (Weighted Approximated Histogram Equalization)
  • CVC (Contextual and Variational Contrast enhancement) PDF
  • LDR (Layered Difference Representation) website (CVC, WAHE)
• Retinex-based
  • AMSR
  • LIME website
  • NPE website
  • SRIE (Simultaneous Reflection and Illumination Estimation) CVPR2016 website
  • MF (Multi-deviation Fusion method) website
• Dehaze-based
  • Dong

Test Images

• 500 from Berkeley Segmentation Data Set and Benchmarks 500 (BSDS500)
• 24 from Kodak Lossless True Color Image Suite
• 7 of 4.2.0x from The USCI-SIPI Image Database, Volume 3: Miscellaneous
• 69 captured images from commercial digital cameras: Download (15.3 MB)
• 4 synthetic images: Download (445 kB)

Metrics

• entropy (DE)
• EME
• AB
• PixDist
• LOE

Publications

Source code can be found at ours folder:

1. A New Image Contrast Enhancement Algorithm using Exposure Fusion Framework (accepted by CAIP 2017，journal version submitted to IEEE Transactions on Cybernetics) project website

2. A New Low-Light Image Enhancement Algorithm using Camera Response Model (accepted by ICCV Workshop 2017)

Please feel free to contact me (yingzhenqiang-at-gmail-dot-com) if you have any further questions or concerns.